Data Scientist - Machine Learning Engineer Job
- Corporate Zoom People
- 3 to 7 Yrs
- All India
- 29 days ago
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Job Description
- Machine Learning Engineer What you can expect As a Machine Learning Engineer, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results. About the Team The Data Team drives data-informed decision-making at Zoom, supporting product development with behavioral insights and helping go-to-market teams with risk and buying propensity scores. We aim to deliver better products and sales outcomes while ensuring compliance with privacy and regulatory requirements for millions of users globally. What were looking for Possess a BS/MS in Computer Science with at least 3 years +of experience in Software Engineering, Machine Learning, AI, or Data Science Possess excellent knowledge of data structures and algorithms with expert level coding using object-oriented principles in Java or Python Demonstrate an expert-level SQL skills for querying and manipulating data using Snowflake, along with experience in ML algorithms such as regression, classification, and clustering. Have practical experience with ML frameworks such as Scikit-learn,TensorFlow, PyTorch and MLOps tools such as MLflow, Kubeflow, or SageMaker Experience with deep learning models/neural networks for forecasting and scoring models is highly valued Demonstrate hands-on experience with cloud data technologies such as Snowflake, Databricks, Apache Spark, and Apache Airflow Have a good understanding of API frameworks such as FAST API and containerization and cloud infrastructure (Docker, Jenkins, CI/CD process) Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. Were problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, youll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Our Commitment We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. #LI-Remote,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Data Scientist - Machine Learning Engineer Job
Contact Details:
Company: ZoomLocation(s): All India
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Keyskills: Software Engineering Machine Learning Data Science Java Python SQL neural networks Snowflake Apache Spark containerization Docker Jenkins AI TensorFlow PyTorch cloud infrastructure
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